On the detection of medium inhomogeneity by contrast agent: wave scattering models and numerical implementations
This work addresses the inverse scattering problem for medium characterization, which is incremental as it builds on existing Lippmann-Schwinger and Helmholtz equation frameworks with a new numerical approach.
The paper tackles the problem of detecting inhomogeneity in a medium by using a contrast agent (droplet) and wave scattering models, achieving reconstruction of the bulk modulus function in a bounded 3D domain through numerical implementations that handle ill-posedness.
We consider the wave scattering and inverse scattering in an inhomogeneous medium embedded a homogeneous droplet with a small size, which is modeled by a constant mass density and a small bulk modulus. Based on the Lippmann-Schwinger integral equation for scattering wave in inhomogeneous medium, we firstly develop an efficient approximate scheme for computing the scattered wave as well as its far-field pattern for any droplet located in the inhomogeneous background medium. By establishing the approximate relation between the far-field patterns of the scattered wave before and after the injection of a droplet, the scattered wave of the inhomogeneous medium after injecting the droplet is represented by a measurable far-field patterns, and consequently the inhomogeneity of the medium can be reconstructed from the Helmholtz equation. Finally, the reconstruction process in terms of the dual reciprocity method is proposed to realize the numerical algorithm for recovering the bulk modulus function inside a bounded domain in three dimensional space, by moving the droplet inside the bounded domain. Numerical implementations are given using the simulation data of the far-field pattern to show the validity of the reconstruction scheme, based on the mollification scheme for dealing with the ill-posedness of this inverse problem.